An online shop that understands your customers.

YouShouldAsk helps visitors throughout their customer journey. A conversation can be the starting point, after which the same AI colleague helps them understand products, compare options or resolve an order question. With Customer Cortex, website content can also reflect what a visitor has shared about their needs, with their consent. Help can then appear right where someone is making a choice.

You decide which information the colleague uses and which actions are allowed. This could include advice based on your own range, explanations from your knowledge base or order information from a connected system. When a question needs human attention, you can arrange a suitable handover. In a demo, we show how these elements work together for your online shop.

Especially shops where customers need more than a product name and a price. For example, when the range is extensive, products need explanation or visitors are unsure which variant suits their situation. Recurring questions about delivery, use and orders can also be a good starting point. That makes YouShouldAsk relevant to business owners, e-commerce managers and customer service teams.

First, we look at where visitors get stuck and which questions your team hears most often. Then we choose a practical application: helping customers choose, handling recurring questions or making the customer journey more personal. You do not need to change every process at once. During the demo, we discuss your range, systems and main goal so you can see a useful first step for your online shop.

That depends on your online shop, the available information and the application you want to start with. First, we map where your product information, knowledge and orders are held, and which existing integrations you can use. We then agree what to connect, what access is required and who will do what. Your existing online shop remains the starting point.

For an initial application, we start with a defined area that we can verify carefully, such as product questions or knowledge base information. Up-to-date order information or actions in other systems may require additional setup. Before activation, we test relevant situations, mobile presentation and the handover to your team. Based on your platform and requirements, the demo can clarify the technical work involved.

AI can make mistakes. That is why we configure the colleague around your product information, knowledge sources and clear rules. We decide which sources take precedence, which questions the colleague may answer and which actions it may perform. If information is missing or a question falls outside the agreed role, the colleague should make that clear and offer help from your team where needed.

Before launch, we test common questions and challenging situations from your business. These include unclear product requirements, conflicting information and questions that need a specialist. After launch, conversations and feedback help us identify missing information or opportunities to improve the setup. The aim is useful, verifiable advice, with a clear route to a colleague when needed.

We start with the result that matters to your online shop. For e-commerce, that may be better product advice and more suitable purchases; for customer service, it may be fewer recurring questions, faster answers or more questions resolved straight away. We then choose measures that fit that goal, rather than simply counting chat conversations.

For example, you can see which visitors received help, which products were recommended and what happened next. For service, customer satisfaction and handover to the team also matter. For revenue, we agree how purchases are attributed to help and which period to compare. This lets you assess the figures in context. The case studies on this website show how results can differ by shop and application.

You decide through the sources and integrations you connect. The colleague can use product information, website content, knowledge documents and, when configured, up-to-date order information. An integration makes that information available for the agreed task. The information required therefore depends on the questions and actions you want to start with.

For personal help, a need that a visitor shares can also be relevant. We use known customer context with appropriate consent and access agreements. You decide which data sources are connected and which actions are permitted. In the demo, we discuss what information your application needs, how you stay in control and when a colleague should take over. You do not have to provide all your systems or data in advance to explore the possibilities.